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SPACE 2019
December 3 - 7
Gandhinagar, India
9th International Conference on Security, Privacy and Applied Cryptographic Engineering

SPACE 2019

Prof. Shahar Kvatinsky

Talk Title

Real Processing-in-Memory with Memristive Memory Processing Unit


Memristive technologies are attractive candidates to replace conventional memory technologies and can also be used to perform logic and arithmetic operations. In this tutorial, I discuss how memristors are used to combine data storage and computation in the memory, thus enabling a novel non-von Neumann architecture called the 'memristive memory processing unit' (mMPU). The mMPU relies on a memristive logic technique called 'memristor aided logic' (MAGIC) that requires no modification to the memory array structure. By greatly reducing the data transfer between the CPU and the memory, the mMPU alleviates the primary restriction on performance and energy efficiency in modern computing systems.

Short Bio

Shahar Kvatinsky is an Associate Professor at the Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion – Israel Institute of Technology. Shahar received the B.Sc. degree in Computer Engineering and Applied Physics and an MBA degree in 2009 and 2010, respectively, both from the Hebrew University of Jerusalem, and the Ph.D. degree in Electrical Engineering from the Technion – Israel Institute of Technology in 2014. From 2006 to 2009, he worked as a circuit designer at Intel. From 2014 and 2015, he was a post-doctoral research fellow at Stanford University. Kvatinsky is an editor of Microelectronics Journal and has been the recipient of numerous awards: the 2019 Krill Prize for Excellence in Scientific Research, 2015 IEEE Guillemin-Cauer Best Paper Award, 2015 Best Paper of Computer Architecture Letters, Viterbi Fellowship, Jacobs Fellowship, ERC starting grant, the 2017 Pazy Memorial Award, the 2014 and 2017 Hershel Rich Technion Innovation Awards, 2013 Sanford Kaplan Prize for Creative Management in High Tech, 2010 Benin prize, and seven Technion excellence teaching awards. His current research is focused on circuits and architectures with emerging memory technologies and design of energy efficient architectures.

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